otenim/GLCIC-PyTorch

A High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".

47
/ 100
Emerging

This tool helps you fill in missing or obscured parts of an image with realistic, generated content. You provide an image with a specific area marked for completion, and the system intelligently fills in that gap. This is useful for anyone working with digital images, such as photo editors, graphic designers, or researchers needing to restore damaged visual data.

293 stars. No commits in the last 6 months.

Use this if you need to seamlessly repair or remove unwanted elements from images, ensuring the reconstructed areas look natural and consistent with the surrounding picture.

Not ideal if you need to generate entirely new images from scratch or if you're looking for a simple, drag-and-drop image editing application without technical setup.

photo-editing image-restoration digital-art graphic-design visual-content
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 21 / 25

How are scores calculated?

Stars

293

Forks

55

Language

Python

License

MIT

Category

image-inpainting

Last pushed

Oct 03, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/otenim/GLCIC-PyTorch"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.